Search Results - "Hong, Sunghwan"

Ag Nanoparticle/Polydopamine-Coated Inverse Opals as Highly Efficient Catalytic Membranes by Choi, Gwan H, Rhee, Do Kyung, Park, A. Reum, Oh, Min Jun, Hong, Sunghwan, Richardson, Joseph J, Guo, Junling, Caruso, Frank, Yoo, Pil J

“…Polymeric three-dimensional inverse-opal (IO) structures provide unique structural properties useful for various applications ranging from optics to separation…”
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Highly penetrant organic solvent-resistant layer-by-layer assembled ultra-thin barrier coating for confined microchannel devices by Hong, Sunghwan, Yoo, Seong Soo, Choi, Gwan Hyun, Lee, Jun Hyuk, Choi, Yong-Woo, Kim, Minjun, Kim, Eungchul, Kwon, S. Joon, Kim, Da Jeong, Park, Juhyun, Yoo, Pil J.

“…Recently, there has been an increasing demand for developing high performance barrier films for effectively suppressing the penetration of organic solvent…”
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Deep Matching Prior: Test-Time Optimization for Dense Correspondence by Hong, Sunghwan, Kim, Seungryong

“…Conventional techniques to establish dense correspondences across visually or semantically similar images focused on designing a task-specific matching prior,…”
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CATs++: Boosting Cost Aggregation With Convolutions and Transformers by Cho, Seokju, Hong, Sunghwan, Kim, Seungryong

“…Cost aggregation is a process in image matching tasks that aims to disambiguate the noisy matching scores. Existing methods generally tackle this by…”
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P‐113: AI model proposal to predict thickness and flatness of organic layer in display process by Hong, Sunghwan, Lee, Heehwan, Kim, Yoonsuk, Cho, Hyungkeon, Seo, Yudeok, Cho, Sungchan

“…As customer specifications for the optical properties of OLED display devices are increasing, the flatness of the surface beneath the electrodes must also be…”
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Controlling inter-sheet-distance in reduced graphene oxide electrodes for highly sensitive electrochemical impedimetric sensing of myoglobin by Yoo, Seong Soo, Kim, So Young, Kim, Kwang Su, Hong, Sunghwan, Oh, Min Jun, Nam, Myeong Gyun, Kim, Woo-Jae, Park, Juhyun, Chung, Chan-Hwa, Choe, Woo-Seok, Yoo, Pil J.

“…[Display omitted] •Impedimetric sensitivity was improved by enlarging electroactive surface area.•Electroactive surface area was tuned by varying inter-sheet…”
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Deep Matching Prior: Test-Time Optimization for Dense Correspondence by Hong, Sunghwan, Kim, Seungryong

“…2021 IEEE/CVF International Conference on Computer Vision (ICCV) Conventional techniques to establish dense correspondences across visually or semantically…”
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Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence by Hong, Sunghwan, Cho, Seokju, Kim, Seungryong, Lin, Stephen

“…This paper introduces a Transformer-based integrative feature and cost aggregation network designed for dense matching tasks. In the context of dense matching,…”
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CATs++: Boosting Cost Aggregation with Convolutions and Transformers by Cho, Seokju, Hong, Sunghwan, Kim, Seungryong

“…Cost aggregation is a highly important process in image matching tasks, which aims to disambiguate the noisy matching scores. Existing methods generally tackle…”
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Two cases of blastic plasmacytoid dendritic cell neoplasm by Hong, Albert Sunghwan, Alsharabati, Muntasser, Jagun, Oluwadamilola, Howard, Lucy, Halpern, Saul

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DirecT2V: Large Language Models are Frame-Level Directors for Zero-Shot Text-to-Video Generation by Hong, Susung, Seo, Junyoung, Shin, Heeseong, Hong, Sunghwan, Kim, Seungryong

“…In the paradigm of AI-generated content (AIGC), there has been increasing attention to transferring knowledge from pre-trained text-to-image (T2I) models to…”
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PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting by Hong, Sunghwan, Jung, Jaewoo, Shin, Heeseong, Han, Jisang, Yang, Jiaolong, Luo, Chong, Kim, Seungryong

“…We consider the problem of novel view synthesis from unposed images in a single feed-forward. Our framework capitalizes on fast speed, scalability, and…”
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Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels by Shin, Heeseong, Kim, Chaehyun, Hong, Sunghwan, Cho, Seokju, Arnab, Anurag, Seo, Paul Hongsuck, Kim, Seungryong

“…Large-scale vision-language models like CLIP have demonstrated impressive open-vocabulary capabilities for image-level tasks, excelling in recognizing what…”
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Unifying Correspondence, Pose and NeRF for Generalized Pose-Free Novel View Synthesis by Hong, Sunghwan, Jung, Jaewoo, Shin, Heeseong, Yang, Jiaolong, Kim, Seungryong, Luo, Chong

“…This work delves into the task of pose-free novel view synthesis from stereo pairs, a challenging and pioneering task in 3D vision. Our innovative framework,…”
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CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation by Cho, Seokju, Shin, Heeseong, Hong, Sunghwan, Arnab, Anurag, Seo, Paul Hongsuck, Kim, Seungryong

“…Open-vocabulary semantic segmentation presents the challenge of labeling each pixel within an image based on a wide range of text descriptions. In this work,…”
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Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence by Hong, Sunghwan, Cho, Seokju, Kim, Seungryong, Lin, Stephen

“…We present a novel architecture for dense correspondence. The current state-of-the-art are Transformer-based approaches that focus on either feature…”
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Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation by Hong, Sunghwan, Cho, Seokju, Nam, Jisu, Lin, Stephen, Kim, Seungryong

“…This paper presents a novel cost aggregation network, called Volumetric Aggregation with Transformers (VAT), for few-shot segmentation. The use of transformers…”
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Unifying Correspondence, Pose and NeRF for Pose-Free Novel View Synthesis from Stereo Pairs by Hong, Sunghwan, Jung, Jaewoo, Shin, Heeseong, Yang, Jiaolong, Kim, Seungryong, Luo, Chong

“…This work delves into the task of pose-free novel view synthesis from stereo pairs, a challenging and pioneering task in 3D vision. Our innovative framework,…”
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Cost Aggregation Is All You Need for Few-Shot Segmentation by Hong, Sunghwan, Cho, Seokju, Nam, Jisu, Kim, Seungryong

“…We introduce a novel cost aggregation network, dubbed Volumetric Aggregation with Transformers (VAT), to tackle the few-shot segmentation task by using both…”
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CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation by Cho, Seokju, Shin, Heeseong, Hong, Sunghwan, Arnab, Anurag, Seo, Paul Hongsuck, Kim, Seungryong

“…Open-vocabulary semantic segmentation presents the challenge of labeling each pixel within an image based on a wide range of text descriptions. In this work,…”
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